Using advanced imaging and AI to improve heart attack risk assessment

Cardiac Ultrasound Radiomics-Guided Deep Neural Networks for Acute Myocardial Infarction Precision Phenotyping

NIH-funded research Rutgers Biomedical and Health Sciences · NIH-11067568

This study is looking at how advanced heart imaging and smart computer technology can help doctors better understand which heart attack patients are at the highest risk, so they can create more personalized treatment plans to improve their health.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionRutgers Biomedical and Health Sciences NIH-funded
Lab location1 site (Newark, UNITED STATES)
Project IDNIH-11067568 on NIH RePORTER

What this research studies

This research focuses on enhancing the assessment of heart attack risk through advanced cardiac ultrasound imaging and artificial intelligence. By analyzing standard ultrasound images, the study aims to create detailed data that can help identify patients at high risk for severe cardiac events. The approach combines traditional imaging techniques with deep learning algorithms to improve the accuracy of risk stratification for patients experiencing acute myocardial infarction. The goal is to develop non-invasive markers that can guide personalized treatment plans for better patient outcomes.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals who have recently experienced an acute myocardial infarction.

Not a fit: Patients who have not experienced a heart attack or those with chronic heart conditions unrelated to acute myocardial infarction may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate risk assessments for heart attack patients, potentially saving lives through timely and tailored interventions.

How similar studies have performed: Previous research has shown promise in using imaging and AI for risk assessment in cardiovascular conditions, indicating that this approach could be effective.

Where this research is happening

Newark, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions acute coronary syndromeatherosclerotic coronary disease
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.